Kestra
Declarative orchestration for data, infrastructure, and business workflows
Data pipelines
Move and transform information through connected processing steps between source systems and destinations.
Apache Airflow
Python-defined workflows with scheduling, dependencies, and execution monitoring
Dagster
Build reliable data pipelines with asset-based orchestration
croft
Build local data pipelines with TypeScript, SQL, and DuckDB
Empromptu
Build and govern AI applications with data and operational controls
Estuary
Synchronize database changes, SaaS data, and streams through one pipeline
Meltano
Manage data pipelines as code with reusable open-source connectors
Qlik
Prepare business data, explore dashboards, and automate analytical reporting
Monte Carlo
Monitor data quality and trace the pipeline context behind reliability problems
dltHub
Build Python data pipelines and run them on managed dltHub infrastructure
Matillion
Build and manage warehouse pipelines through visual tools and the Maia platform
Hevo
Move data into a warehouse and manage ingestion with built-in transformations
Great Expectations
Test and document the quality of your data
Fivetran
Centralize data with managed integration pipelines
Databricks
Unify data engineering, analytics, and AI workflows
Airbyte
Move data between sources and analytical systems